Learning adaptive domain models from click data to bootstrap interactive Web search

Lungley, Deirdre; Kruschwitz, Udo and Song, Dawei (2012). Learning adaptive domain models from click data to bootstrap interactive Web search. In: ECIR 2012: 34th European Conference on Information Retrieval, 1-5 Apr 2012, Barcelona, Spain.

DOI: https://doi.org/10.1007/978-3-642-28997-2_56

URL: http://ecir2012.upf.edu/index.html

Abstract

Today, searchers exploring the World Wide Web have come to expect enhanced search interfaces – query completion and related searches have become standard. Here we propose a Formal Concept Anal- ysis lattice as an underlying domain model to provide a source of query refinements. The initial lattice is constructed using NLP. User clicks on documents, seen as implicit user feedback, are harnessed to adapt it. In this paper, we explore the viability of this adaptation process and the results we present demonstrate its promise and limitations for proposing initial effective refinements when searching the diverse WWW domain.

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About

• Item ORO ID
• 34681
• Item Type
• Conference or Workshop Item
• Extra Information
• Published in:
  R. Baeza-Yates et al. (Eds.): ECIR 2012, LNCS 7224, pp. 522-526, 2012
• Keywords
• usage mining; domain modelling; formal concept analysis; query refinement
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2012 Springer-Verlag Berlin Heidelberg
• Depositing User
• Dawei Song